Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent Research
We propose a method for automatically extracting new trends and best practices from the recent literature on online learning, aligned with the learning cycle perspective. Using titles and abstracts of research articles published in high ranked educational journals, we assign topic proportions to the...
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MDPI AG
2024-10-01
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| Online Access: | https://www.mdpi.com/2078-2489/15/11/665 |
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| author | Maria Osipenko |
| author_facet | Maria Osipenko |
| author_sort | Maria Osipenko |
| collection | DOAJ |
| description | We propose a method for automatically extracting new trends and best practices from the recent literature on online learning, aligned with the learning cycle perspective. Using titles and abstracts of research articles published in high ranked educational journals, we assign topic proportions to the articles, where the topics are aligned with the components of the learning cycle: engagement, exploration, explanation, elaboration, evaluation, and evolution. The topic analysis is conducted using keyword-based Latent Dirichlet allocation, and the topic keywords are chosen to reflect the nature of the learning cycle components. Our analysis reveals the time dynamics of research topics aligned on learning cycle components, component weights, and interconnections between them in the current research focus. Connections between the topics and user-defined learning elements are discovered. Concretely, we examine how effective learning elements such as virtual reality, multimedia, gamification, and problem-based learning are related to the learning cycle components in the literature. In this way, any innovative learning strategy or learning element can be placed in the landscape of the learning cycle topics. The analysis can be helpful to other researches when designing effective learning activities that address particular components of the learning cycle. |
| format | Article |
| id | doaj-art-2a77e72bae4845b8963dc5cbca0e3206 |
| institution | Kabale University |
| issn | 2078-2489 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-2a77e72bae4845b8963dc5cbca0e32062024-11-26T18:06:30ZengMDPI AGInformation2078-24892024-10-01151166510.3390/info15110665Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent ResearchMaria Osipenko0School of Business and Economics, Hochschule für Wirtschaft und Recht Berlin, Badensche Str. 50-52, 10875 Berlin, GermanyWe propose a method for automatically extracting new trends and best practices from the recent literature on online learning, aligned with the learning cycle perspective. Using titles and abstracts of research articles published in high ranked educational journals, we assign topic proportions to the articles, where the topics are aligned with the components of the learning cycle: engagement, exploration, explanation, elaboration, evaluation, and evolution. The topic analysis is conducted using keyword-based Latent Dirichlet allocation, and the topic keywords are chosen to reflect the nature of the learning cycle components. Our analysis reveals the time dynamics of research topics aligned on learning cycle components, component weights, and interconnections between them in the current research focus. Connections between the topics and user-defined learning elements are discovered. Concretely, we examine how effective learning elements such as virtual reality, multimedia, gamification, and problem-based learning are related to the learning cycle components in the literature. In this way, any innovative learning strategy or learning element can be placed in the landscape of the learning cycle topics. The analysis can be helpful to other researches when designing effective learning activities that address particular components of the learning cycle.https://www.mdpi.com/2078-2489/15/11/665online learninglearning cycletopic analysislearning elements |
| spellingShingle | Maria Osipenko Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent Research Information online learning learning cycle topic analysis learning elements |
| title | Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent Research |
| title_full | Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent Research |
| title_fullStr | Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent Research |
| title_full_unstemmed | Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent Research |
| title_short | Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent Research |
| title_sort | online learning from the learning cycle perspective discovering patterns in recent research |
| topic | online learning learning cycle topic analysis learning elements |
| url | https://www.mdpi.com/2078-2489/15/11/665 |
| work_keys_str_mv | AT mariaosipenko onlinelearningfromthelearningcycleperspectivediscoveringpatternsinrecentresearch |